Materials for workshop at Department of Environment, Ghent University.
Rendered version of the intro slides: https://jorisvandenbossche.github.io/python-GIS/slides.html#1
To run the demo notebooks, you can use the Binder link above to try them out in the cloud without the need to install any packages. Otherwise, I recommend using Anaconda to install the required packages (the environment.yml files contains a list with required packages for the demos).
Some additional links (including the courses from which I have borrowed some material):
- https://automating-gis-processes.github.io/2018/index.html
- Research Computing in Earth Sciences (https://rabernat.github.io/research_computing_2018/)
- Scipy Lecture Notes (http://scipy-lectures.org/)
- GeoPandas tutorial: https://github.com/jorisvandenbossche/geopandas-tutorial (source of the material in the geopandas-tutorial sub-directory here)
- Similar tutorial including part on PySAL: https://github.com/geopandas/scipy2018-geospatial-data/
- PySAL: Python spatial analysis library (http://pysal.org/)